As long as the total source code of all public Vals adds up to less than a few hundred MBs it may be worth brute forcing it with ripgrep – I built a UI for that for a bunch of my stuff here https://
ripgrep.datasette.io/-/ripgrep?patt
ern=hookimpl
… – see
SOFTWARE
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Ripgrep UI for searching public source code repositories
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Scalable streaming Transformers for infinite context with bounded resources
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Scalability to infinitely long context: Processes extremely long inputs in a streaming fashion, overcoming limitations of standard Transformers. Bounded memory and compute resources: Achieves high compression ratios while maintaining performance, super cost-effective. Who
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Developer launches 1980s BBS simulator project
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Great, now I have to do work for it. (I started another project, a 1980s BBS simulator).
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Trainer Framework Complexity: Overriding Methods and Logging Issues
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on the other hand you can be someone like me who chose it for ease of use at the beginning of a project and now has overriden almost every single method of the Trainer and has to go to insane lengths to understand basic functionality like logging
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Bixtral deployment errors on A100 GPUs HuggingFace endpoints
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Hey @michelleyhbn @LucSGeorges just wanted to share that there seem to be errors when using 4x A100 80gbs to host Bixtral on HF endpoints… seems like more than enough RAM, but still crashed — tried gptq etc. No dice, all failed. Not a huge deal for me, but wanted to make sure
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Microsoft Optimizes Bing Ads with NVIDIA Triton Inference
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DYK – By using Triton Inference Server, Microsoft Bing personalized ads to users applying sophisticated techniques to do more work in less time with less computer memory. Read their story to learn more > https://
nvda.ws/3UbmeBw #AI #inference #NVIDIATriton By using Triton -
Pro Gamers Enhance NVIDIA Software Quality Assurance Testing
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For some NVIDIANs, it's always game day. Discover how pro gamers bolster our software quality assurance testing. #NVIDIAlife
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Cohere Rerank 3 Now Natively Supported in Elastic
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We are excited to announce that Rerank 3 is supported natively in @elastic
’s Inference API starting today. To start building enterprise search systems with Cohere and Elastic, check out the latest guide: -

Rerank 3 Achieves 2-3x Speed Improvement in Inference Performance
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Rerank 3 is extremely efficient, offering state-of-the-art throughput with a 2-3x improvement in inference speed compared to prior models. We understand that in many business domains, such as customer support, quality results need to be delivered quickly.